Business Research Project Part 5: Research Report and Presentation
Robert Robinson, Valerye Rogers, Troy Fountain
QNT/561- Applied Business Research & Statistics
October 13, 2014
Dr. Robert Kalle, Instructor

Business Research Project Part 5: Research and Presentation
In the following, the learning team will revise the Business Research Project. The team will collect all the individual papers from week 5 and will incorporate the best elements into one team inferential statistics and findings paper and spreadsheet. The team will also note the strengths and weaknesses of their statistical findings. They will collaborate if there are any differences to find the best approach. The team will combine all the papers from …show more content…

With this data, we will be able to move forward with training and different courses of action to perhaps minimize the complaints that we receive during peak hours.
From this data we can now determine what was happening during these peak times if we redefine our research question a bit. We can now ask “how many complaints where about incorrect orders and how many complaints where from too long of a wait from placing the order and when it arrived at the table?” Below is a chart with these redefined questions and the data which has been separated.
Time segments
Incorrect order (X1)
Increased wait time (X2)
1
2
3
2
0
0
3
1
4
4
2
4
5
0
0
6
0
1
Total
5
12
X1
X2
-0.0667
1
-0.3238
0.71429
-0.581
0.42857
-0.8381
0.14286

So the inferences that can be made here is that the team sees the sharp increase that was due mainly in part to increased wait times and not incorrect orders being delivered to the guests. With this chart you can say that the statistic is regression and from the data you can say that the majority of complaints where in fact due to waiting periods. You can further say that the data infers that the next week’s guests will experience much of the same.

Overall the team as a group found out from their data that not all concerns about the performance actually where related to employees. The team found that the great numbers of complaints where from guests that were unhappy about the wait to be seated. The wait time was increased by the